[R] graphs of gamma, normal fit to a histogram are about half as large as they should be

[Benjamin Caldwell]

Rolf,

Taking out the scalar multiples did it. Thanks for that.


*Ben Caldwell*

PhD Candidate
University of California, Berkeley




On Sun, May 15, 2011 at 10:30 PM, Rolf Turner <rolf.turner at xtra.co.nz>wrote:

>
> In your example it appears that you are plotting a histogram (on the
> frequency
> scale) and then superimposing scalar multiples of gamma and Gaussian
> densities.
>
> You should just plot a histogram (with frequency=FALSE) and then
> superimpose the
> densities --- without any scalar multipliers.
>
> If that doesn't work, please provide a minimal *reproducible* (no one but
> you
> has the ``rwb'' data object) example of the problem that you are having
> (as the posting guide requests).
>
>     cheers,
>
>         Rolf Turner
>
>
>
> On 16/05/11 17:01, Benjamin Caldwell wrote:
>
> Hmm; still missing something - hist defaults to frequencies, not prob.
> densities; and, I thought I'd scaled the fitted lines to the values in the
> data frame. Just going with it, I specified freq=FALSE, and the prob density
> was of course at a different order of magnitude than the lines.
>
>  What are you trying to hint at?
>
>
> On Fri, May 13, 2011 at 6:05 PM, Rolf Turner <rolf.turner at xtra.co.nz>wrote:
>
>>  On 14/05/11 10:00, Benjamin Caldwell wrote:
>>
>>> Hello,
>>>
>>> I'm trying to compare the fit of two distributions, normal and gamma, to
>>> a
>>> histogram of my response variable.
>>>
>>>
>>> rate<-mean(na.omit(rwb$post.f.crwn.length))/var(na.omit(rwb$post.f.crwn.length))
>>> shape<-rate*mean(na.omit(rwb$post.f.crwn.length))
>>> hist((rwb$post.f.crwn.length), main="rwb$post.f.crwn.length")
>>>
>>> lines(seq(0.01,70,0.01),length(rwb$post.f.crwn.length)*dgamma(seq(0.01,70,0.01),shape,rate))
>>>
>>> lines(seq(0,70,0.1),length(na.omit(rwb$post.f.crwn.length))*dnorm(seq(0,70,.1),mean(na.omit(rwb$post.f.crwn.length)),sqrt(var(na.omit(rwb$post.f.crwn.length))))
>>>
>>> However, the height of the two curves are about 1/3 to 1/4 the height
>>> that
>>> they should be compared to the histogram. Any ideas?
>>>
>>
>>  Yes.  Read the help on "hist"!  (Hint:  Pay particular attention to the
>> "freq" and/or "probability" arguments.)
>>
>>    cheers,
>>
>>        Rolf Turner
>>
>
>
>
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